Friday Harbor adds income and asset scenario testing for LOs

AI-powered mortgage underwriting platform Friday Harbor announced Tuesday the launch of a new set of tools called Income and Asset Sandbox, which are designed to help loan officers structure income and asset decisions earlier in the origination process.

The tools allow lending teams to test how different income streams, assets and supporting documents affect a borrower’s eligibility in real time without permanently altering the loan file or violating program guidelines.

“The capabilities are designed to help loan officers structure deals that qualify and close earlier in the origination process,” a company press release stated.

Friday Harbor also said the new capabilities are intended to add structure and visibility to the qualifying income and assets process while teams still have flexibility to adjust scenarios.

Within a live loan file, lenders can direct the platform’s AI income agent to include or exclude specific income sources, assets or documentation and immediately see qualifying income recalculated. Users can toggle documents, modify averaging periods for variable earnings and test asset-based scenarios based on the loan product’s guidelines, automated underwriting system findings and lender overlays.

The Income and Asset Sandbox operates within Friday Harbor’s broader AI pre-underwriting platform, which reads borrower documents, compares them with the loan application, and evaluates them against agency rules and lender requirements. Calculations are based on documentation in the file in real time.

“Income decisions rarely fit into neat templates, especially as borrower scenarios grow more complex,” said Theo Ellis, founder and CEO of Friday Harbor. “Our Income and Asset Sandbox gives teams a way to structure deals earlier in the process, with transparency into how each income and asset decision impacts eligibility and the path to close.”

The tool is supported by Friday Harbor’s Loan File Companion, a file-level AI assistant that allows users to ask questions within a loan file and receive responses tied to source documents, automated underwriting findings and policy references.

The company said the feature is designed to keep scenario analysis grounded in documentation while preserving lender judgment and underwriting accountability.